Method and System for Targeted Content Placement

1. A method for processing a list of customers to receive targeted content, the method comprising: receiving financial records for customers of at least one financial institution; associating the received financial records of each customer with an anonymous identification code, each anonymous identification code being representative of a respective customer; storing the anonymous identification codes and the financial records in a database; receiving a request for a list of customers who meet at least one criteria; querying the database to identify customers based on the at least one criteria and the stored financial records; generating a targeted list of customers based on the customers identified when querying the database, wherein the targeted list of customers identifies each customer using an anonymous identifier that is representative of a customer of the at least one financial institution but does not personally identify the customer; receiving unique identifiers, each unique identifier representative of a customer of the at least one financial institution; determining whether the received unique identifiers personally identify the customer associated with the respective unique identifier; and where the received unique identifiers personally identify the customer: encrypting the received unique identifiers to create an anonymous unique encrypted identification code, and releasing the received unique identifiers that personally identify the customer, wherein associating the received financial records includes associating the received financial records of customers with the respective anonymous unique encrypted identification code for the respective customer.

2. The method of claim 1 , further comprising displaying the targeted list of customers.

3. The method of claim 1 , further comprising: providing a key to an entity that requested the list of customers.

4. The method of claim 1 , further comprising: delivering the targeted list of customers to an entity that requested the list of customers.

5. The method of claim 1 , wherein the financial records include account level transaction data for each respective customer and demographic information for each respective customer, wherein the demographic information is not associated with a name, a bank account number, a street address, an e-mail address, a social security number or a phone number for the respective customer.

6. The method of claim 5 , further comprising: aggregating the account level transaction data for at least one customer; determining at least one aggregate assumption based on the aggregated account level transaction data for the at least one customer; and based on having determined at least one aggregate assumption for the at least one customer, classifying the at least one customer into an aggregate assumption classification.

7. The method of claim 5 , further comprising: identifying at least one customer trend for at least one customer, the identifying at least one customer trend comprising (i) determining at least one future collateral transaction based on the received account level transaction data for the at least one customer; or (ii) determining at least one timed transaction based on the received account level transaction data for the at least one customer; and based on having determined at least one customer trend for the at least one customer, classifying the at least one customer into a customer trend classification.

8. The method of claim 7 , wherein identifying at least one customer trend includes (i) determining at least one future collateral transaction for the at least one customer based on similar purchasing patterns of other customers.

9. The method of claim 1 , wherein: receiving into a database financial records for customers further comprises receiving financial records for a multi-financial institution customer where the multi-financial institution customer is a customer of at least two different financial institutions; and associating the received financial records further comprises associating the received financial records from a first financial institution for the multi-financial institution customer with a first anonymous identification code representative of the multi-financial institution customer and associating the received financial records from a second financial institution for the multi-financial institution customer with a second anonymous identification code representative of the multi-financial institution customer.

10. The method of claim 9 , further comprising: tracking financial transactions where the multi-financial institution customer transfers money between the first financial institution and the second financial institution; and based on having tracked a predetermined number of financial transactions where the multi-financial institution customer transfers money between the first financial institution and the second financial institution, identifying the multi-financial institution customer represented by the first anonymous identification code and the multi-financial institution customer represented by the second anonymous identification code to be the same customer.

11. A system for processing a list of financial institution customers for receiving targeted content, the system comprising: a database storing anonymous unique identifications for a plurality of customers of at least one financial institution and financial records comprising bank transaction data for the customers, each anonymous unique identification being representative of a customer of the at least one financial institution and associated with the financial records for the respective customer of the at least one financial institution; and a processor including software configured to: classify the customers into selected classifications based on the financial records associated with each anonymous unique identification; create a list of targeted content viewers based on at least one selected classification, wherein the list includes at least one anonymous unique identification associated with the at least one selected classification; and associate at least two unique identifiers from at least two different financial institutions with a single anonymous identification.

12. The system of claim 11 , wherein the anonymous unique identification lacks a name of the customer, a social security number for the customer, a bank account number for the customer, a street address for the customer, an e-mail address for the customer, or a phone number for the customer.

13. The system of claim 12 , wherein the processor is connected with a device that is configured to deliver to the at least one financial institution the list of targeted content viewers.

14. The system of claim 12 , wherein the database stores financial records including demographic information for the plurality of customers, the demographic information for each customer being associated with the respective unique identification for the respective customer and the demographic information lacks a name, a bank account number, a street address, an e-mail address, a social security number and a phone number for the respective customer.

15. The system of claim 11 , wherein the software is further configured to: aggregate the received financial records associated with at least one of the unique identifications; determine at least one aggregate assumption based on the aggregated financial records; determine at least one aggregate assumption classification based on the at least one aggregate assumption; and based on having determined at least one aggregate assumption classification, update the classification for the respective customer associated with the at least one of the unique identifications.

16. The system of claim 11 , wherein the software is further configured to: identify at least one customer trend comprising: determining at least one future collateral transaction based on the received financial records associated with at least one unique identification; or determining at least one timed transaction based on the received financial records associated with at least one unique identification; and determine at least one customer trend classification based on the at least one customer trend; and based on having determined at least one customer trend classification, update the classification for the respective customer associated with the at least one unique identification.